{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "deadly-mambo",
   "metadata": {},
   "source": [
    "### This notebook is a special explaination for data cleaning and analysis. Although we have defined a few functions in `training_module.py` and `training.py` with explanatory docstrings, we will not call them in this notebook instead we will reproduce those codes in order to explain in detail as much as possible. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "constitutional-saudi",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "absent-madison",
   "metadata": {},
   "source": [
    "### The following is the process of data cleaning, please see the comments next to the code for details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fallen-adapter",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "b'Skipping line 6044: expected 10 fields, saw 11\\nSkipping line 6569: expected 10 fields, saw 11\\nSkipping line 7399: expected 10 fields, saw 11\\nSkipping line 7939: expected 10 fields, saw 11\\nSkipping line 9026: expected 10 fields, saw 11\\nSkipping line 10264: expected 10 fields, saw 11\\nSkipping line 10427: expected 10 fields, saw 11\\nSkipping line 10905: expected 10 fields, saw 11\\nSkipping line 11373: expected 10 fields, saw 11\\nSkipping line 11945: expected 10 fields, saw 11\\nSkipping line 14112: expected 10 fields, saw 11\\nSkipping line 14532: expected 10 fields, saw 11\\nSkipping line 15076: expected 10 fields, saw 12\\nSkipping line 29906: expected 10 fields, saw 11\\nSkipping line 31625: expected 10 fields, saw 11\\nSkipping line 33020: expected 10 fields, saw 11\\nSkipping line 35748: expected 10 fields, saw 11\\nSkipping line 35962: expected 10 fields, saw 11\\nSkipping line 37770: expected 10 fields, saw 11\\nSkipping line 38105: expected 10 fields, saw 11\\nSkipping line 38275: expected 10 fields, saw 11\\nSkipping line 38404: expected 10 fields, saw 12\\n'\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>masterCategory</th>\n",
       "      <th>subCategory</th>\n",
       "      <th>articleType</th>\n",
       "      <th>baseColour</th>\n",
       "      <th>season</th>\n",
       "      <th>usage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15970</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Shirts</td>\n",
       "      <td>Navy Blue</td>\n",
       "      <td>Fall</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39386</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Bottomwear</td>\n",
       "      <td>Jeans</td>\n",
       "      <td>Blue</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21379</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Bottomwear</td>\n",
       "      <td>Track Pants</td>\n",
       "      <td>Black</td>\n",
       "      <td>Fall</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>53759</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Tshirts</td>\n",
       "      <td>Grey</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1855</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Tshirts</td>\n",
       "      <td>Grey</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44417</th>\n",
       "      <td>12544</td>\n",
       "      <td>Women</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Tshirts</td>\n",
       "      <td>Peach</td>\n",
       "      <td>Fall</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44418</th>\n",
       "      <td>42234</td>\n",
       "      <td>Women</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Tops</td>\n",
       "      <td>Blue</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44419</th>\n",
       "      <td>17036</td>\n",
       "      <td>Men</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>Casual Shoes</td>\n",
       "      <td>White</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44420</th>\n",
       "      <td>6461</td>\n",
       "      <td>Men</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>Footwear</td>\n",
       "      <td>Flip Flops</td>\n",
       "      <td>Red</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44421</th>\n",
       "      <td>18842</td>\n",
       "      <td>Men</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>Topwear</td>\n",
       "      <td>Tshirts</td>\n",
       "      <td>Blue</td>\n",
       "      <td>Fall</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27265 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id gender masterCategory subCategory   articleType baseColour  \\\n",
       "0      15970    Men        Apparel     Topwear        Shirts  Navy Blue   \n",
       "1      39386    Men        Apparel  Bottomwear         Jeans       Blue   \n",
       "3      21379    Men        Apparel  Bottomwear   Track Pants      Black   \n",
       "4      53759    Men        Apparel     Topwear       Tshirts       Grey   \n",
       "5       1855    Men        Apparel     Topwear       Tshirts       Grey   \n",
       "...      ...    ...            ...         ...           ...        ...   \n",
       "44417  12544  Women        Apparel     Topwear       Tshirts      Peach   \n",
       "44418  42234  Women        Apparel     Topwear          Tops       Blue   \n",
       "44419  17036    Men       Footwear    Footwear  Casual Shoes      White   \n",
       "44420   6461    Men       Footwear    Footwear    Flip Flops        Red   \n",
       "44421  18842    Men        Apparel     Topwear       Tshirts       Blue   \n",
       "\n",
       "       season   usage  \n",
       "0        Fall  Casual  \n",
       "1      Summer  Casual  \n",
       "3        Fall  Casual  \n",
       "4      Summer  Casual  \n",
       "5      Summer  Casual  \n",
       "...       ...     ...  \n",
       "44417    Fall  Casual  \n",
       "44418  Summer  Casual  \n",
       "44419  Summer  Casual  \n",
       "44420  Summer  Casual  \n",
       "44421    Fall  Casual  \n",
       "\n",
       "[27265 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data cleaning\n",
    "#https://www.kaggle.com/paramaggarwal/fashion-product-images-small\n",
    "\n",
    "def df_drop(styles, col, item):\n",
    "    \"\"\"\n",
    "    This function drops certain columns\n",
    "    input: styles, dataframe\n",
    "        col, the item we want to drop in this coloumn\n",
    "        item, which item we want to drop \n",
    "    \"\"\"\n",
    "    for i in item:\n",
    "        styles = styles.drop(styles[styles[col] == i].index)\n",
    "    return styles\n",
    "\n",
    "def get_df():\n",
    "    \"\"\"\n",
    "    this function get and clean the data, return a dataframe\n",
    "    \"\"\"\n",
    "    styles = pd.read_csv(\"/Users/pingkefan/Desktop/archive/styles.csv\", error_bad_lines=False)\n",
    "    styles = styles.drop([\"productDisplayName\"],axis = 1) #drop useless column, we do not need name to do recommendation\n",
    "    styles = styles.drop([\"year\"],axis = 1) #drop useless column, we do not need year to do recommendation\n",
    "    styles = styles[(styles.masterCategory=='Apparel')| (styles.masterCategory=='Footwear')] # drop useless rows, we are not recommend acessories\n",
    "    styles = styles.drop(styles[styles[\"subCategory\"] == \"Innerwear\"].index) # drop useless row, we are not recommend innerwears, only outfits.\n",
    "    styles = styles.dropna() # drop NA\n",
    "    styles = df_drop(styles,\"subCategory\", [\"Apparel Set\", \"Dress\",\"Loungewear and Nightwear\",\"Saree\",\"Socks\"]) # we only recommend outfits.\n",
    "    styles[\"subCategory\"] = styles[\"subCategory\"].transform(lambda x: \"Footwear\" if(x in [\"Shoes\",\"Flip Flops\",\"Sandal\"]) else x) # Group them into one category.\n",
    "    styles = styles.drop(labels=[6695,16194,32309,36381,40000], axis=0) # drop incomplete rows\n",
    "    return styles\n",
    "\n",
    "\n",
    "styles = get_df()\n",
    "styles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "recognized-contemporary",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43,\n",
       " array(['Navy Blue', 'Blue', 'Black', 'Grey', 'Green', 'Purple', 'White',\n",
       "        'Brown', 'Pink', 'Beige', 'Red', 'Khaki', 'Silver', 'Off White',\n",
       "        'Yellow', 'Charcoal', 'Copper', 'Magenta', 'Orange', 'Lavender',\n",
       "        'Sea Green', 'Cream', 'Peach', 'Gold', 'Tan', 'Olive', 'Burgundy',\n",
       "        'Maroon', 'Grey Melange', 'Multi', 'Teal', 'Rust',\n",
       "        'Turquoise Blue', 'Bronze', 'Mustard', 'Coffee Brown', 'Taupe',\n",
       "        'Mauve', 'Mushroom Brown', 'Metallic', 'Nude', 'Lime Green',\n",
       "        'Fluorescent Green'], dtype=object))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(styles.baseColour.unique()),styles.baseColour.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rocky-cardiff",
   "metadata": {},
   "source": [
    "### We can find that we actually have 43 colors, some of which are very close and difficult to distinguish. We originally had a model that specifically recognizes colors, but the accuracy was very low. So later we decided to extract colors directly from the picture instead of predicting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "arbitrary-ethiopia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "from random import randint\n",
    "import seaborn as sns\n",
    "df = styles.copy()\n",
    "df_colors = df.groupby([\"baseColour\"]).size().reset_index(name=\"counts\").sort_values(by=[\"counts\"], ascending=False)\n",
    "\n",
    "colors = [f'#{random.randint(0, 0xFFFFFF):06x}' for n in range(df.baseColour.nunique())] \n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 10))\n",
    "sns.barplot(x=\"baseColour\", y=\"counts\", data=df_colors.head(10), palette=\"hls\", ax=axes[0])\n",
    "axes[1].pie(list(df_colors.counts.values), labels=list(df_colors.baseColour.values), autopct=\"%1.1f%%\", shadow=True, startangle=90, pctdistance=0.85,colors=colors)\n",
    "center_circle = plt.Circle((0, 0), 0.70, fc='black')\n",
    "fig = plt.gcf()\n",
    "fig.gca().add_artist(center_circle)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "detected-desperate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,20))\n",
    "styles.baseColour.value_counts().sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minute-stage",
   "metadata": {},
   "source": [
    "### When we were using the color model, we also found that the model often incorrectly recognizes black color. We think this is due to the fact that there are more black clothes in the data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "passing-fashion",
   "metadata": {},
   "outputs": [],
   "source": [
    "# change the original color column\n",
    "styles.loc[(styles.baseColour=='Red')|\n",
    "           (styles.baseColour=='Brown')|\n",
    "           (styles.baseColour=='Coffee Brown')|\n",
    "           (styles.baseColour=='Maroon')|\n",
    "           (styles.baseColour=='Rust')|\n",
    "           (styles.baseColour=='Burgundy')|\n",
    "           (styles.baseColour=='Mushroom Brown'),\"colorgroup\"] = \"Red\"\n",
    "styles.loc[(styles.baseColour=='Copper'),\"colorgroup\"] = \"Dark Orange\"\n",
    "styles.loc[(styles.baseColour=='Orange')|\n",
    "           (styles.baseColour=='Bronze')|\n",
    "           (styles.baseColour=='Skin')|\n",
    "           (styles.baseColour=='Nude'),\"colorgroup\"] = \"Orange\"\n",
    "styles.loc[(styles.baseColour=='Gold')|\n",
    "           (styles.baseColour=='Khaki')|\n",
    "           (styles.baseColour=='Beige')|\n",
    "           (styles.baseColour=='Mustard')|\n",
    "           (styles.baseColour=='Tan')|\n",
    "           (styles.baseColour=='Metallic'),\"colorgroup\"]= \"Dark Yellow\"\n",
    "styles.loc[(styles.baseColour=='Yellow'),\"colorgroup\"] = \"Yellow\"\n",
    "styles.loc[(styles.baseColour=='Lime Green'),\"colorgroup\"]= \"Green\"\n",
    "styles.loc[(styles.baseColour=='Green')|\n",
    "       (styles.baseColour=='Sea Green')|\n",
    "       (styles.baseColour=='Fluorescent Green')|\n",
    "       (styles.baseColour=='Olive'),\"colorgroup\"] = \"Dark Green\"\n",
    "styles.loc[(styles.baseColour=='Teal')|\n",
    "       (styles.baseColour=='Turquoise Blue'),\"colorgroup\"] = \"Light Blue\"\n",
    "styles.loc[(styles.baseColour=='Blue'),\"colorgroup\"]= \"Blue\"\n",
    "styles.loc[(styles.baseColour=='Navy Blue'),\"colorgroup\"] = \"Dark Blue\"\n",
    "styles.loc[(styles.baseColour=='Purple')|\n",
    "       (styles.baseColour=='Lavender'),\"colorgroup\"] = \"Purple\"\n",
    "styles.loc[(styles.baseColour=='Pink')|\n",
    "       (styles.baseColour=='Magenta')|\n",
    "       (styles.baseColour=='Peach')|\n",
    "       (styles.baseColour=='Rose')|\n",
    "       (styles.baseColour=='Mauve'),\"colorgroup\"] = \"Pink\"\n",
    "styles.loc[(styles.baseColour=='Black')|\n",
    "       (styles.baseColour=='Charcoal'),\"colorgroup\"] = \"Black\"\n",
    "styles.loc[(styles.baseColour=='White')|\n",
    "       (styles.baseColour=='Off White')|\n",
    "       (styles.baseColour=='Cream'),\"colorgroup\"] = \"White\"\n",
    "styles.loc[(styles.baseColour=='Grey')|\n",
    "       (styles.baseColour=='Silver')|\n",
    "       (styles.baseColour=='Taupe')|\n",
    "       (styles.baseColour=='Grey Melange'),\"colorgroup\"] = \"Grey\"\n",
    "styles.loc[(styles.baseColour=='Multi'),\"colorgroup\"] = \"Multi\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "patent-polls",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,20))\n",
    "styles.articleType.value_counts().sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "basic-carbon",
   "metadata": {},
   "source": [
    "### Similarly, we also found that there are a lot of T-shirts in the data set, which is consistent with the fact that our model often misidentifies to T-shirts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gorgeous-madagascar",
   "metadata": {},
   "source": [
    "### There is another bias here, which may offend users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "naval-network",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "styles.gender.value_counts().sort_values().plot(kind='barh')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eleven-mortality",
   "metadata": {},
   "source": [
    "### We found that sometimes our model would incorrectly identify women clothes as men clothes. Moreover, we have never seen boys and girls and unisex in the recognition results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "accessory-china",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:PIC16B] *",
   "language": "python",
   "name": "conda-env-PIC16B-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
